Product Manager, Applied Research

Luma; Redwood City (CA); On-site; USD 225,000 - 325,000; Full time

Job summary

Luma is seeking a principal-level PM to bridge frontier research and product across Canvas, Agents, and the model platform in Redwood City. You’ll read papers, interpret evals, and build prototypes, steering research direction with commercial impact.

You will shape product priorities in marketing, advertising, and entertainment, run research-to-product feedback loops, and own high-leverage bets while operating with broad autonomy.

Qualifications

• Principal or Staff-level PM experience bridging research and product at an AI lab or applied AI company.
• Comfort in a research environment: reading evals, understanding them, and asking the right questions.
• Track record shipping products that originated in research, not just optimizing existing ones.
• The technical depth to build prototypes yourself — work with models, write prompts, test hypotheses.
• Very high agency and a general-manager mindset weighing technical novelty against commercial impact.

Responsibilities

• Own the product strategy for turning Luma's frontier research into shippable features across Canvas, Agents, and the model platform.
• Work inside the research team to shape priorities against real enterprise needs in marketing, advertising, and entertainment.
• Establish and run the feedback loops between research, product, go-to-market, and forward-deployed teams.
• Interpret evaluations and research findings to identify the highest-leverage capabilities and make bets accordingly.
• Build prototypes yourself to validate ideas before committing engineering resources.
• Translate 'the model can now do X' into 'customers can now solve Y' and own the research-to-product handoff and quality bar.

Skills

Prototype building

Model prompts

Python

SQL

Research-to-product

General-manager mindset

Tools

Python

SQL

Job description

You'll own the bridge between Luma's frontier research and its products — Canvas, Agents, and the model platform — making sure what researchers build is shaped by what customers need, and what ships takes full advantage of what research makes possible.

This is a principal-level PM role inside the research process, not downstream of it: you'll read papers, interpret evals, build prototypes yourself, and call which research directions have the most commercial leverage. It requires someone who can genuinely operate in a research environment and influence without authority. If you need a defined playbook or can't read an eval, this won't work.

What You’ll Own

• Own the product strategy for turning Luma's frontier research into shippable features across Canvas, Agents, and the model platform.
• Work inside the research team to shape priorities against real enterprise needs in marketing, advertising, and entertainment.
• Establish and run the feedback loops between research, product, go-to-market, and forward-deployed teams.
• Interpret evaluations and research findings to identify the highest-leverage capabilities and make bets accordingly.
• Build prototypes yourself to validate ideas before committing engineering resources.
• Translate "the model can now do X" into "customers can now solve Y," and own the research-to-product handoff and quality bar.

First 90 Days

One way the first 90 could unfold.

• Days 1–30 — Immerse & Diagnose: Get inside the research, the evals, and the enterprise needs, and map where the highest-leverage capabilities are.
• Days 30–60 — Ship & Validate: Stand up the research-to-product feedback loop and validate a prototype that proves commercial value.
• Days 60–90 — Scale & Systemize: Define "ready to ship" and run the cadence that turns research breakthroughs into product.

What You Bring

• Principal or Staff-level PM experience bridging research and product at an AI lab or applied AI company.
• Genuine comfort in a research environment: reading evals, understanding them, and asking the right questions.
• A track record shipping products that originated in research, not just optimizing existing ones.
• The technical depth to build prototypes yourself — work with models, write prompts, test hypotheses.
• Very high agency and a general-manager mindset weighing technical novelty against commercial impact.
• The ability to influence without authority.

Nice to Have

• Research PM, Applied Research PM, or Labs PM experience at a frontier AI company (Anthropic, OpenAI, Google DeepMind, Meta AI, Cohere, Mistral).
• Background in multimodal AI, and Python and SQL proficiency.
• Experience defining evaluation frameworks and quality bars for shipping research into production.
• Founder-type background, and domain exposure in marketing, advertising, or entertainment.

About Luma: Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe multimodality is critical for intelligence — the next step beyond language models comes from vision. Luma is an equal opportunity employer.

Compensation Range: $225K - $325K